nlp

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基于Transformers的文本分类

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

⚡ Local chat assistants with AI superpowers

(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

AI-powered legal compliance assistant for alcohol beverage pricing laws — extracts, analyzes, and explains New York state-level regulationsusing RAG + knowledge-graph reasoning.

Cybertron: the home planet of the Transformers in Go

Buddhist Digital Text Platform — 10,500+ texts, 613 sources, trilingual cross-canon, AI Q&A (RAG), knowledge graph, full-text search

Interface to ChatGPT from R

AI-writing humanizer for KO/EN/ZH/JA

Repository for Project Insight: NLP as a Service

Use LLMs to robustly extract web data

Edge Inference in Browser with Transformer NLP model

⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).

VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.

Text2Text Language Modeling Toolkit

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.

An NLP system for generating reading comprehension questions

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision